Senior Manager for Marketing Analytics

closed
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Canonical

πŸ“Remote - Europe, Middle East, and Africa

Summary

Join Canonical as a Senior Manager for Marketing Analytics to execute on our growth hacking strategy and drive commercial outcomes through data and technology.

Requirements

  • An undergraduate or postgraduate degree in data science, statistics, mathematics, computer science, or engineering , or a compelling narrative about your alternative chosen path, together with an exceptional academic track record throughout your education years
  • A strong analytical mindset with solid evidence of managing projects that drive commercial success
  • Knowledge in advanced marketing analytics (media mix modelling, cohort analysis, attribution models ), coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
  • Exceptional management experience, leading analytical, creative professionals to excellence
  • Experience in selecting, implementing and managing a leading edge martech stack preferably built on open source software
  • A track record of building a culture of experimentation across the organisation
  • Advanced web analytics and SEO practices across website and SAAS products
  • Proven ability of collaborating with senior stakeholders across functions (sales, revenue operations, product, IS…) to turn strategic business and product questions into impactful analytic projects

Responsibilities

  • Lead the growth engineering team, responsible for driving the best commercial results for Canonical through data and technology
  • Design, implement and operate Canonical marketing technology stack, a dozens of martech applications, from commercial applications (Marketo, Google Analytics, Leandata) to open source solutions (Superset, Kubeflow, WordPress)
  • Own reporting and analytics throughout the customer lifecycle from ABM, Multi-Touch Attribution, funnel performance, acquisition costs and customer retention
  • Develop and track OKRs and conversion rates across the marketing and revenue funnels
  • Optimise lead scoring, lead flow and cadences to increase conversion rates across marketing and sales
  • Develop web analytics and SEO practices to sustain high levels of organic user and customer acquisition
  • Drive Return On Ad Spend optimisation through attribution methodologies, advanced targeting and channel exploration
  • Ensure marketing data cleanliness and completeness through data governance policies and management practices
  • Champion an experimentation culture by supporting the business with processes, tooling (A/B tests, MAB) and expertise
  • Collaborate with teams across marketing and throughout Canonical (Product, IS, Engineering, RevOps, Finance) to build data solutions to Go To Market problems
  • Support execution excellence in the marketing team through training, tools and documentation

Benefits

  • Fully remote working environment
  • Personal learning and development budget of 2,000 USD per annum
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Parental Leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues at β€˜sprints’
  • Priority Pass for travel and travel upgrades for long haul company events
This job is filled or no longer available

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